Welcome to eeiomodel.com, a platform created to:
share high-quality, high-resolution EEIO models
facilitate collaborations around EEIO modeling
Despite the growing application and popularity of EEIO models, high-resolution and high-quality national EEIO models are still not widely available, with perhaps a few exceptions. In some cases, such models have been developed by scholars for their own research but were not made publicly available; in others, such models have yet to be developed.
There are some global multi-regional input-output (MRIO) models that do cover many countries or regions. While these models can offer big-picture and global views, they are rough at the national level as compared with a model developed specifically for the nation of interest. There is a tradeoff between geographical scope and resolution. For a model that seeks to cover a large ground, it is likely fuzzier when zoomed in, hence the need for ad hoc national models.
EEIO models developed and availability
I have developed a dozen of national models for the United States, the United Kingdom, China (mainland), China (Taiwan), South Korea, Japan, Mexico, Netherlands, Singapore, Thailand, India, and Germany. The sectoral resolution of these EEIO models ranges from dozens of sectors to >800 sectors. These models are currently provided free-of-charge at TASA analytics.
Creator of this platform
I'm Yi Yang, currently a professor at the College of Environment and Ecology at Chongqing University. Trained in Industrial Ecology, I'm specializes in Life Cycle Assessment and Environmentally-Extended Input-Output (EEIO) modeling. My research has covered diverse topics, including agri-food systems, first- and second-generation biofuels, iron and steel production, and emerging technologies like graphene. I have published >100 scientific papers in top-tier journals such as Science, PNAS, Nature Sustainability, Nature Food, Nature Geoscience, and Green Chemistry. You can learn more about my research at my google scholar page.
I'm also a founding partner and the chief science officer of TASA analytics, a data and analytics firm dedicated to accelerating sustainable technology and market transitions. At TASA, my colleagues and I, under the leadership of Dr. Tim Smith, use EEIO models to help corporations strengthen their sustainability strategies and transform commitments into measurable impact.
I'm also the founder and CEO of Young's consulting, where I provide advice on more research-oriented questions such as EEIO and life-cycle modeling. I’ve had the privilege to work with leading companies, public institutions, and NGOs around the world — experiences I’ve found both rewarding and inspiring.
You are welcome to reach out to me for research related questions or consultancy work through any of the capacities above.
EEIO related experience and scientific publications
I've been developing EEIO models since I started my graduate studies at the University of Minnesota in 2008. The first EEIO model I developed was for China, with my then supervisor Dr. Sangwon Suh. I also helped collect data for Dr. Suh's CEDA model. Given my expertise, upon PhD graduation I was hired to help the US Environmental Protection Agency develop an open-source EEIO model of the US, which has come to be known as USEEIO (details regarding the model can be found in our first publication). Because of its transparency, USEEIO is arguably the most widely used EEIO model around the world: used, for example, by leading global corporations like Amazon, GM, Merck; by leading universities like Yale, Princeton, MIT; by leading national labs like the National Renewable Energy Laboratory.
Some of my EEIO model-related papers are shown below:
Yang, Y., Ingwersen, W.W., Hawkins, T.R., Srocka, M. and Meyer, D.E., 2017. USEEIO: A new and transparent United States environmentally-extended input-output model. Journal of cleaner production, 158, pp.308-318.
Yang, Y., Park, Y., Smith, T.M., Kim, T. and Park, H.S., 2022. High-Resolution Environmentally Extended Input–Output Model to Assess the Greenhouse Gas Impact of Electronics in South Korea. Environmental Science & Technology, 56(4), pp.2107-2114.
Yang, Y. and Suh, S., 2011. Environmental impacts of products in China. Environmental science & technology, 45(9), pp.4102-4109.
Zhang, Y. and Yang, Y., 2024. Estimating the carbon footprint of Mexican food consumption based on a high-resolution environmentally extended input-output model. Environmental Science and Pollution Research, 31(18), pp.27192-27202.
Yang, Y., Heijungs, R. and Brandão, M., 2017. Hybrid life cycle assessment (LCA) does not necessarily yield more accurate results than process-based LCA. Journal of Cleaner Production, 150, pp.237-242.
Yang, Y., Ingwersen, W.W. and Meyer, D.E., 2018. Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States. Environmental modelling & software, 99, pp.52-57.
Yang, Y. and Heijungs, R., 2018. On the use of different models for consequential life cycle assessment. The International Journal of Life Cycle Assessment, 23(4), pp.751-758.